Machine learning on Azure for baseball decision analysis
What-if analysis is a great use case for Azure machine intelligence techniques. Bart Czernicki, Principal Technical Architect with the Microsoft Machine Intelligence team, shows you how in his sample web app for baseball decision analysis based on ML.NET and Blazor called the Machine Learning Workbench. He shows you an example architecture on Azure and provides all the source code on GitHub.
Bart has created the Machine Learning Workbench as a web app with a friendly interface to a powerful what-if analysis engine. It takes historical and current baseball data and uses AI and machine learning models to make informed predictions.
The solution delivers National Baseball Hall of Fame insights, but the architectural approach applies to decision analysis systems in general, from building a fantasy baseball team to forecasting financial scenarios for budgeting and planning.
The Machine Learning Workbench is built in ASP.NET core using ML.NET, an open-source framework that provides the inference engine, and Blazor Server to render the interface. Azure SignalR Service brokers communications between Workbench and the user interface.
Published on:
Learn moreRelated posts
Setting up Power BI Version Control with Azure Dev Ops
In this blog post is a way set up version control for Power BI semantic models (and reports) using the PBIP (Power BI Project) format, Azure D...
Azure Developer CLI (azd) – March 2026: Run and Debug AI Agents Locally, GitHub Copilot Integration, & Container App Jobs
Run, invoke, and monitor AI agents locally or in Microsoft Foundry with the new azd AI agent extension commands. Plus GitHub Copilot-powered p...
Writing Azure service-related unit tests with Docker using Spring Cloud Azure
This post shows how to write Azure service-related unit tests with Docker using Spring Cloud Azure. The post Writing Azure service-related uni...
Azure SDK Release (March 2026)
Azure SDK releases every month. In this post, you find this month's highlights and release notes. The post Azure SDK Release (March 2026) appe...
Specifying client ID and secret when creating an Azure ACS principal via AppRegNew.aspx will be removed
The option to specify client ID and secret when creating Azure ACS principals will be removed. Users must adopt the system-generated client ID...
Azure Developer CLI (azd): Run and test AI agents locally with azd
New azd ai agent run and invoke commands let you start and test AI agents from your terminal—locally or in the cloud. The post Azure Developer...
Microsoft Purview compliance portal: Endpoint DLP classification support for Azure RMS–protected Office documents
Microsoft Purview Endpoint DLP will soon classify Azure RMS–protected Office documents, enabling consistent DLP policy enforcement on encrypte...
Introducing the Azure Cosmos DB Plugin for Cursor
We’re excited to announce the Cursor plugin for Azure Cosmos DB bringing AI-powered database expertise, best practices guidance, and liv...